An EOG/EEG-Based Hybrid Brain-Computer Interface for Chess

被引：4
|
作者：
Choi, Jin Woo [1 ]
Rho, Eojin [1 ]
Huh, Sejoon [1 ]
Jo, Sungho [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Sch Comp, Daejeon, South Korea
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2018年
关键词：
electrooculography (EOG); electroencephalography (EEG); brain-computer interface (BCI); machine learning; supervised learning; evoked potential; FREQUENCY; P300;
D O I：
10.1109/SMC.2018.00033
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Most user interfaces require motion; the motor-impaired therefore do not have many options to choose from. Electroencephalography (EEG) and the analysis of eye movement are two of the commonly proposed methods for enhancing the user experiences of the motor-impaired. In this paper, we propose an electrooculography (EOG)/EEG-based hybrid BCI that combines the strengths of EOG and EEG by using them simultaneously. We have shown the effectiveness of EOG/EEG-based hybrid BCIs by implementing the proposed interface and applying it to a chess game. Through this paper, we hope to provide improved interface systems for patients who have physical disabilities.
引用
收藏
页码：129 / 134
页数：6
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